Improving artificial intelligence forecasting models performance with data preprocessing: European union allowance prices case study

Literals

dcterms:contributor
- Jaramillo-Moran M.A., Fernandez-Martinez D., Garcia-Garcia A., Carmona-Fernandez D.
bibo:doi
- 10.3390/en14237845
dcterms:creator
- Jaramillo-Morán M.A.
ou:bibtex
- @article{Jaramillo_Mor_n_2021, doi = {10.3390/en14237845}, url = {https://doi.org/10.3390%2Fen14237845}, year = 2021, month = {nov}, publisher = {{MDPI} {AG}}, volume = {14}, number = {23}, pages = {7845}, author = {Miguel A. Jaramillo-Mor{\'{a}}n and Daniel Fern{\'{a}}ndez-Mart{\'{\i}}nez and Agust{\'{\i}}n Garc{\'{\i}}a-Garc{\'{\i}}a and Diego Carmona-Fern{\'{a}}ndez}, title = {Improving Artificial Intelligence Forecasting Models Performance with Data Preprocessing: European Union Allowance Prices Case Study}, journal = {Energies} }
vivo:identifier
- 2021-318
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119980132&origin=inward
ou:eid
- 2-s2.0-85119980132
bibo:eissn
- 1996-1073
dcterms:title
- Improving artificial intelligence forecasting models performance with data preprocessing: European union allowance prices case study
fabio:hasPublicationYear
- 2021
dcterms:publisher
- Energies
ou:tipoPublicacion
- Article
ou:urlOrcid
- https://doi.org/10.3390/en14237845
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119980132&origin=inward
bibo:volume
- 14